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1 основные параметры
1) Aviation: leading particulars2) Naval: main specifications3) Engineering: critical parameters, general quantities (напр. прибора), main characteristics, performance factors4) Politics: key parameters5) SAP. basic parameters6) Automation: basic quantities, global parameters (напр. системы управления)7) SAP.fin. global settingsУниверсальный русско-английский словарь > основные параметры
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2 основные характеристики
1) Computers: key features2) Aviation: main data3) Naval: general performances4) Engineering: general properties5) Construction: basic characteristics, fundamental characteristics6) Politics: basic parameters, key parameters7) Astronautics: main characteristics, main performance data8) Business: (конкурентоспособные) core competenciesУниверсальный русско-английский словарь > основные характеристики
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3 lugar de origen
(n.) = locality of originEx. This article reports on a study of the basic parameters such as, sex ratio, academic background, age group, and locality of origin of the LIS education students at Manipur University.* * *(n.) = locality of originEx: This article reports on a study of the basic parameters such as, sex ratio, academic background, age group, and locality of origin of the LIS education students at Manipur University.
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4 proporción hombres-mujeres
(n.) = sex ratioEx. This article reports on a study of the basic parameters such as, sex ratio, academic background, age group, and locality of origin of the LIS education students at Manipur University.* * *(n.) = sex ratioEx: This article reports on a study of the basic parameters such as, sex ratio, academic background, age group, and locality of origin of the LIS education students at Manipur University.
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5 параметр
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6 довольно
•The burning rate is fairly (or rather) high.
* * *Довольно (низкий)-- In general, the uncertainty level in the basic parameters is quite low. Довольно -- fairly, rather, quite; not in..., not un...; in some, for some, at someAlso, vanadium has a fairly high solid solubility for oxygen, above about 1 atomic percent at 200°C.The most obvious effect of leakage at fixed T4 is the rather large increase in compressor flow rate.Entrance lengths in turbulent flow are usually quite short.—довольно похожий наРусско-английский научно-технический словарь переводчика > довольно
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7 ценен тем, что позволяет
Ценен тем, что позволяет-- Information from the simple rigs is mainly of value in identifying some of the basic parameters involved in film formation.Русско-английский научно-технический словарь переводчика > ценен тем, что позволяет
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8 osnovni hidrograski parametri
• basic hydrographic parameters -
9 Rahmen
Rahmen m 1. COMP rack; 2. KOMM frame (Datenübertragung, Website-Design (Bildschirmbereich)); 3. GEN, FIN framework • im Rahmen von GEN within the framework of, in the context of, through* * *m 1. < Comp> rack; 2. < Komm> Datenübertragung, Website-Design (Bildschirmbereich) frame; 3. <Geschäft, Finanz> framework ■ im Rahmen von < Geschäft> within the framework of, in the context of, through* * *Rahmen
(Bereich) frame, scope, limits, (Gefüge) framework, structure, (Zeitung) box;
• außerhalb des Rahmens von jds. Vertretungsmacht beyond the scope of s. one’s express authority;
• im Rahmen von within the limits of;
• im kleinen Rahmen small-scale;
• im Rahmen eines Abkommens under an agreement;
• im Rahmen seiner [amtlichen] Aufgaben within the scope of one’s functions;
• im Rahmen der Geldmarktregulierung under its money market regulating arrangements;
• im Rahmen der Geschäftstätigkeit within the scope of the partnership business;
• im Rahmen des Geschäftsüblichen within the usual course of business;
• im Rahmen einer Sonderregelung with a special scheme;
• im Rahmen seiner Tätigkeit during the carrying out of his duties;
• im Rahmen der Vorjahresentwicklung about the same as in the previous year;
• geplanter Rahmen budgeted level;
• gesetzlicher Rahmen legal framework;
• Rahmen für Lohnerhöhungen range of wage increases;
• Rahmen einer Versicherungspolice framework of policy;
• als Rahmen dienen to serve as the setting;
• im Rahmen der Schlüsselgewalt handeln (Ehefrau) to pledge her husband’s credit for necessaries;
• im Rahmen seiner Vertretungsbefugnisse handeln to act within the scope of one’s authority;
• im Rahmen seiner Vollmachten handeln to act intra vires;
• im Rahmen seiner Arbeit liegen to fall within the scope of s. one’s work;
• im Rahmen des üblichen Geschäftsverkehrs liegen to be incidental to the normal activity of a business;
• im Rahmen des Möglichen liegen to lie within the scope of possible events;
• im Rahmen von jds. finanziellen Möglichkeiten liegen to be within the reach of s. one’s pocket;
• im Rahmen seiner Tätigkeit liegen to fall within the scope of one's work;
• Rahmenabkommen skeleton (master, basic) agreement;
• allgemeines Rahmenabkommen general framework agreement;
• Rahmenbedingungen parameters;
• stabile politische Rahmenbedingungen stable political framework;
• unternehmerfreundliche Rahmenbedingungen favo(u)rable conditions for entrepreneurs;
• Rahmenbeschluss framework decision;
• Rahmenfrachtabkommen master freight agreement;
• Rahmenfrist basic period;
• Rahmengebühr skeleton due (fee);
• Rahmengeschichte frame story;
• Rahmengesetz skeleton bill, omnibus act;
• Rahmenkreditkontingent credit line quota;
• Rahmenkreditvertrag underlying agreement, working plan;
• Rahmenlizenz open licence (license, US);
• Rahmenorganisation skeleton organization, cadre;
• Rahmenpersonal skeleton staff;
• Rahmenpolice (Lebensversicherung) master policy;
• Rahmenprogramm framework program(me);
• festes Rahmenprogramm (Rundfunk) across-the-board program(me);
• Rahmentagesordnung skeleton agenda;
• Rahmentarif (Lohnabkommen) skeleton wage agreement;
• Rahmentarifvertrag industry-wide (master, model) agreement;
• Rahmenübereinkommen der Vereinten Nationen über Klimaveränderungen UN Framework Convention on Climate Change;
• Rahmenverbot (Gerichtsanordnung) blanket injunction;
• Rahmenvereinbarung outline agreement;
• Rahmenvereinbarung über eine neue Arbeitsorganisation abschließen to enter into framework agreements on the reorganisation of work;
• Rahmenvertrag skeleton (basic) agreement, basic contract, general pact;
• Rahmenvertragsergänzung (Zollwesen) blanket tariff supplement;
• Rahmenvorschrift general rule. -
10 мандант
Юридически и организационно самостоятельный объект системы. Каждый мандант имеет собственную среду данных, т.е. собственные основные и переменные данные, присвоенные основные записи пользователей, планы счетов и специфические параметры настройки. — A legally and organizationally independent entity of system. Each mandant(e) has own data medium, i.e. own basic and variable data, assigned basic records of users, account plans and specific setting parameters.
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11 номинальное значение базового параметра диффузионного слоя
номинальное значение базового параметра диффузионного слоя
номинальное значение базового параметра
Значение базового параметра диффузионного слоя, усредненное для мерного участка.
Примечание
Толщина мерного участка устанавливается в зависимости от цели испытания, метода и средств измерения базового параметра.
aн - номинальное значение базового параметра (для мерного участка толщиной d)
[ ГОСТ 20495-75]Тематики
Обобщающие термины
Синонимы
EN
DE
Русско-английский словарь нормативно-технической терминологии > номинальное значение базового параметра диффузионного слоя
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12 распределение базового параметра диффузионного слоя
распределение базового параметра диффузионного слоя
распределение базового параметра
Закономерность изменения значения базового параметра вдоль нормали к поверхности насыщения.
[ ГОСТ 20495-75]Тематики
Обобщающие термины
Синонимы
EN
DE
Русско-английский словарь нормативно-технической терминологии > распределение базового параметра диффузионного слоя
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13 основные параметры орбиты
Astronautics: basic orbital parametersУниверсальный русско-английский словарь > основные параметры орбиты
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14 основные показатели разработки
Drilling: basic development parametersУниверсальный русско-английский словарь > основные показатели разработки
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15 основные параметры
critical parameters, basic quantitiesРусско-английский исловарь по машиностроению и автоматизации производства > основные параметры
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16 search
E-comthe facility that enables visitors to a Web site to look for the information they want.Search is one of the most common activities that people perform on a Web site, and therefore needs to be prominently displayed—preferably on every page, near the top. There are essentially two approaches to Web site search: basic search, suitable for small Web sites of 50 pages or under, and advanced search, for larger Web sites, which allows a user to refine their search on the basis of various parameters.In either case, because search is an exclusively functional activity, the search results should be very clear and contain no distractions. Each set of results should include: the title of the Web page that it refers to, shown in bold type and hyperlinked to that page; a two-line summary describing the content on that page; the URL for the page, and its date of publication. -
17 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
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18 поверхностная акустическая волна
- TDM
- TDD
- TBR
- SRD
- SIN AD
- SAW
- RSSI
- RFI
- PWM
- PSK
- PDM
- OBE
- MSK
- GMSK
- FSK
- FHSS
- ETSI
- ETS
- ETR
- EMI
- DSSS
- DBPSK
- CSMA
- CDMA
- BPSK
- ASK
- ARQ
06.04.13 поверхностная акустическая волна [ surface acoustic wave; SAW]: Электроакустический эффект, используемый в системах автоматической идентификации, когда микроволновые радиосигналы малой мощности с помощью пьезоэлектрического кристалла в радиочастотной метке преобразуются в ультразвуковые поверхностные акустические волны.
Примечание - Информация об уникальной идентификации содержится в фазово-временных вариациях отраженного радиочастотной меткой сигнала.
<2>4 Сокращения
ARQ
Автоматический запрос повтора [Automatic Repeat Request]
ASK
Амплитудная манипуляция [Amplitude Shift Keying]
BPSK
Бинарная фазовая манипуляция [Binary Phase Shift Keying]
CDMA
Множественный доступ с кодовым разделением каналов [Code Division Multiple Access]
CSMA
Множественный доступ с анализом состояния канала передачи данных [Carrier Sense Multiple Access]
CSMA/CD
Множественный доступ с анализом состояния канала передачи данных и обнаружением конфликтов [Carrier Sense Multiple Access with Collision Detection]
DBPSK
Дифференциальная бинарная фазовая манипуляция [Differential binary phase shift keying]
DSSS
Широкополосная модуляция с непосредственной передачей псевдослучайной последовательности [Direct sequence spread spectrum modulation]
EIRP (ЭИИМ)
Эквивалентная изотропно-излучаемая мощность [Equivalent Isotropically Radiated Power]
EMI
Электромагнитная помеха [ElectroMagnetic Interference]
ETR
Технический отчет ETSI [European Telecommunications Report]
ETS
Телекоммуникационный стандарт ETSI [European Telecommunications Standard]
ETSI
Европейский институт по стандартизации в области телекоммуникаций [European Telecommunications Standards Institute]
FHSS
Широкополосная модуляция с дискретной перестройкой несущей частоты [Frequency Hopping Spread Spectrum]
FSK
Частотная манипуляция [Frequency Shift Keying]
GHz (ГГц)
Гигагерц [Gigahertz]
GMSK
Минимальная гауссовская манипуляция [Gaussian Minimum Shift Keying]
kHz (кГц)
Килогерц [Kilohertz]
MSK
Минимальнофазовая частотная манипуляция [Minimum shift keying]
MHz (МГц)
Мегагерц [Megahertz]
OBE
Навесное оборудование [On-Board Equipment]
PDM
Модуляция импульса по длительности, широтно-импульсная модуляция [Pulse Duration Modulation]
PM
Фазовая модуляция [Phase modulation]
PPM (ФИМ)
Фазоимпульсная модуляция [Modulation (pulse position)]
PSK
Фазовая манипуляция [Phase Shift Keying]
PWM
Широтно-импульсная модуляция [Pulse Width Modulation]
RF/DC
Обмен данными системы радиочастотной идентификации [Radio frequency data communication]
RFI
Радиопомеха [Radio frequency interference]
RSSI
Индикатор уровня принимаемого сигнала [Receiving Signal Strength Indicator]
S/N
Отношение сигнала к шуму [Signal/noise ratio]
SAW
Поверхностная акустическая волна [Surface Acoustic Wave]
SIN AD
Отношение сигнала к шуму и искажению [Signal to Noise & Distortion]
SRD
Устройство малого радиуса действия [Short Range Device]
TBR
Технические основы регулирования [Technical Basis for Regulation]
TDD
Дуплексная связь с временным разделением каналов [Time Division Duplexing]
TDM
Временное разделение каналов [Time Division Multiplexing]
<2>Библиография
[1]
МЭК 60050-713
(IEC 60050-713)
Международный электротехнический словарь. Часть 713. Радиосвязь: приемники, передатчики, сети и их режим работы
( International Electrotechnical Vocabulary - Part 713: Radiocommunications: transmitters, receivers, networks and operation)
[2]
МЭК 60050-705
(IEC 60050-705)
Международный электротехнический словарь. Глава 705: Распространение радиоволн ( International Electrotechnical Vocabulary - Chapter 705: Radio wave propagation)
[3]
МЭК 60050-702
(IEC 60050-702)
Международный электротехнический словарь. Глава 702: Колебания, сигналы и соответствующие устройства
( International Electrotechnical Vocabulary - Chapter 702: Oscillations, signals and related devices)
[4]
МЭК 60050-121
(IEC 60050-121)
Международный электротехнический словарь. Глава 121: Электромагнетизм ( International Electrotechnical Vocabulary - Part 121: Electromagnetism)
[5]
МЭК 60050-712
(IEC 60050-712)
Международный электротехнический словарь. Глава 712: Антенны ( International Electrotechnical Vocabulary - Chapter 712: Antennas)
[6]
МЭК 60050-221
(IEC 60050-221)
Международный электротехнический словарь. Глава 221: Магнитные материалы и компоненты
( International Electrotechnical Vocabulary - Chapter 221: Magnetic materials and components)
[7]
ИСО/МЭК 2382-9:1995
(ISO/IEC2382-9:1995)
Информационная технология. Словарь. Часть 9. Обмен данными ( Information technology - Vocabulary - Part 9: Data communication)
[8]
МЭК 60050-725
(IEC 60050-725)
Международный электротехнический словарь. Глава 725: Космическая радиосвязь ( International Electrotechnical Vocabulary - Chapter 725: Space radiocommunications)
[9]
МЭК 60050-714
(IEC 60050-714)
Международный электротехнический словарь. Глава 714: Коммутация и сигнализация в электросвязи
( International Electrotechnical Vocabulary - Chapter 714: Switching and signalling in telecommunications)
[10]
МЭК 60050-704
(IEC 60050-704)
Международный Электротехнический словарь. Глава 704. Техника передачи ( International Electrotechnical Vocabulary - Chapter 704: Transmission)
[11]
МЭК 60050-161
(IEC 60050-161)
Международный электротехнический словарь. Глава 161: Электромагнитная совместимость ( International Electrotechnical Vocabulary. Chapter 161: Electromagnetic compatibility)
[12]
ИСО/МЭК 8824-1
(ISO/IEC 8824-1)
Информационные технологии. Абстрактная синтаксическая нотация версии один
(АСН.1). Часть 1. Спецификация основной нотации
(Information technology - Abstract Syntax Notation One (ASN.1): Specification of basic notation)1)
[13]
ИСО/МЭК 9834-1
(ISO/IEC 9834-1)
Информационные технологии. Взаимосвязь открытых систем. Процедуры действий уполномоченных по регистрации ВОС. Часть 1. Общие процедуры и верхние дуги дерева идентификатора объекта АСН.1
( Information technology - Open Systems Interconnection - Procedures for the operation of OSI Registration Authorities: General procedures and top arcs of the ASN. 1 Object Identifier tree)
[14]
ИСО/МЭК 15962]
(ISO/IEC 15962)
Информационные технологии. Радиочастотная идентификация (RFID) для управления предметами. Протокол данных: правила кодирования данных и функции логической памяти
( Information technology - Radio frequency identification ( RFID) for item management - Data protocol: data encoding rules and logical memory functions)
[15]
ИСО/МЭК 19762-1
(ISO/IEC 19762-1)
Информационные технологии. Технологии автоматической идентификации и сбора данных (АИСД). Гармонизированный словарь. Часть 1. Общие термины в области АIDC ( Information technology - Automatic identification and data capture ( AIDC) techniques - Harmonized vocabulary - Part 1: General terms relating to AIDC)
[16]
ИСО/МЭК 19762-2
(ISO/IEC 19762-2)
Информационные технологии. Технологии автоматической идентификации и сбора данных (АИСД). Гармонизированный словарь. Часть 2. Оптические носители данных (ОНД)
( Information technology - Automatic identification and data capture ( AIDC) techniques - Harmonized vocabulary - Part 2: Optically readable media ( ORM))
[17]
ИСО/МЭК 19762-3
(ISO/IEC 19762-3)
Информационные технологии. Технологии автоматической идентификации и сбора данных (АИСД). Гармонизированный словарь. Часть 3. Радиочастотная идентификация (РЧИ)
( Information technology - Automatic identification and data capture ( AIDC) techniques - Harmonized vocabulary - Part 3: Radio frequency identification ( RFID))
[18]
ИСО/МЭК 19762-5
(ISO/IEC 19762-5)
Информационные технологии. Технологии автоматической идентификации и сбора данных (АИСД). Гармонизированный словарь. Часть 5. Системы определения места нахождения
( Information technology - Automatic identification and data capture ( AIDC) techniques - Harmonized vocabulary - Part 5: Locating systems)
[19]
ИСО/МЭК 18000-6
(ISO/IEC 18000-6)
Информационные технологии. Радиочастотная идентификация для управления предметами. Часть 6. Параметры радиоинтерфейса для диапазона частот 860 - 960 МГц ( Information technology - Radio frequency identification for item management - Part 6: Parameters for air interface communications at 860 MHz to 960 MHz)
_____________
1)В оригинале ИСО/МЭК 19762-4 стандарты [12] - [19] включены в раздел «Библиография», однако следует учитывать, что в основном тексте стандарта ссылок на них нет.
<2>
Источник: ГОСТ Р ИСО/МЭК 19762-4-2011: Информационные технологии. Технологии автоматической идентификации и сбора данных (АИСД). Гармонизированный словарь. Часть 4. Общие термины в области радиосвязи оригинал документа
Русско-английский словарь нормативно-технической терминологии > поверхностная акустическая волна
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